We have released the video above which demonstrates the practical applications of our research in emergency care situations. In this case study, nurses or student nurses wearing a Smart-Assistant (in this example Smart-Eye-Ware) are attempting to resuscitate a patient (doll). Besides offering information on demand in their HMD (e.g. instant feedback, regulations or quick-check information, hints), the Smart-Assistant also detects specific activities like performing chest compressions and provides feedback if the activity is not performed to required standards.

This research expands on work presented in the award winning papers: Smart-Watch Life Saver: Smart-Watch Interactive-Feedback System for Improving Bystander CPR and Recognizing Hospital Care Activities with a Pocket Worn Smartphone (award details here).

Abstract. We introduce the concept of Hybrid Diversity – Aware Collective Adaptive Systems (HDA-CAS) and their proposed role in addressing social problems associated with urban living, health, and financial markets. Our concern is for their responsible development and deployment, and to this end, we suggest perspectives on the governance of social machines and a framework from which to design governance regimes for HDACAS.

Keywords: governance, ethical governance, social machines, collective adaptive systems.

doi: http://www.computer.org/csdl/proceedings/cgc/2013/5114/00/5114a426-abs.html

Citation: Hartswood, M., Grimpe, B., and Jirotka, M., “Towards Ethical Governance of Social Machines,” cgc, pp.426-427, 2013 International Conference on Cloud and Green Computing, 2013.

Download: http://bit.ly/1S3bbns